Area-Level Socioeconomic Gradients in Overweight and Obesity in a Community-Derived Cohort of Health Service Users – A Cross-Sectional Study

Andrew Bonney, Darren J Mayne, Bryan D Jones, Lawrence Bott, Stephen E J Andersen, Peter Caputi, Kathryn M Weston and Don C Iverson

PLOS ONE, 2015, vol. 10, issue 8, 1-13

Abstract: Background: Overweight and obesity lead to higher probability of individuals accessing primary care but adiposity estimates are rarely available at regional levels to inform health service planning. This paper analyses a large, community-derived clinical database of objectively measured body mass index (BMI) to explore relationships with area-level socioeconomic disadvantage for informing regional level planning activities. Materials and Methods: The study included 91776 adults who had BMI objectively measured between 1 July 2009 and 30 June 2011 by a single pathology provider. Demographic data and BMI were extracted and matched to 2006 national census socioeconomic data using geocoding. Adjusted odds-ratios for overweight and obesity were calculated using sex-stratified logistic regression models with socioeconomic disadvantage of census collection district of residence as the independent variable. Results: The prevalence of overweight or obesity was 79.2% (males) and 65.8% (females); increased with age to 74 years; and was higher in rural (74%) versus urban areas (71.4%) (p

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0137261

DOI: 10.1371/journal.pone.0137261

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